Jean MacMillan
Papers
1
Total Citations
2
H-Index
1
About
Jean MacMillan’s research lies at the intersection of human factors engineering, cognitive systems, and the control of unmanned robotic vehicles. Her work fundamentally explores how humans can effectively command and coordinate teams of autonomous systems, particularly in high-stakes environments like military surveillance and hazardous exploration. Her most notable contribution, the 2004 paper "Human Control of Teams of Unmanned/Robotic Vehicles: Exploring the Limits of the Possible," investigates the cognitive and operational bottlenecks that arise when a single operator must manage multiple robotic assets—a challenge increasingly critical in modern defense and disaster response. While this foundational paper has garnered 2 citations, its influence extends into the design of supervisory control interfaces and team coordination protocols. MacMillan’s research has helped define the boundaries of human-robot teaming, highlighting the need for adaptive automation and decision support to prevent operator overload. Her work remains a touchstone for engineers and cognitive scientists striving to push the limits of what is possible in human-robot collaboration, ensuring that as robotic capabilities expand, human operators can remain effective, decisive leaders of their synthetic teams.
Research Focus
Key Achievements
Top Papers
- 1